344 research outputs found
Outage Information Rate of Spatially Correlated Multi-Cluster Scattering MIMO Channels
A one-sided spatially-correlated multi-cluster scattering
Rayleigh MIMO channel is considered in this work and
its outage probability is derived in an analytic form based on
Meijer function determinants. First, the spatially-uncorrelated
case is addressed and the Moment Generating Function (MGF)
of the information rate is expressed in an analytic closed-form.
The MGF is then used to obtain the outage probability. A
few special cases are addressed to provide a confirmation of
the analytic results. Next, the MGF in the one-sided spatially
correlated case is derived with the constraint of distinct positive
spatial correlation eigenvalues. Numerical results are included to
provide confirming evidence of the analytic results. These results
are then used to assess the outage probability degradation due
to spatial correlation in a selected exampl
On the Outage Capacity of Orthogonal Space-time Block Codes Over Multi-cluster Scattering MIMO Channels
Multiple cluster scattering MIMO channel is a useful model for pico-cellular
MIMO networks. In this paper, orthogonal space-time block coded transmission
over such a channel is considered, where the effective channel equals the
product of n complex Gaussian matrices. A simple and accurate closed-form
approximation to the channel outage capacity has been derived in this setting.
The result is valid for an arbitrary number of clusters n-1 of scatterers and
an arbitrary antenna configuration. Numerical results are provided to study the
relative outage performance between the multi-cluster and the Rayleigh-fading
MIMO channels for which n=1.Comment: Added references; changes made in Section 3-
Diversity-Multiplexing Tradeoff of Multi-Layer Scattering MIMO Channels
Multi-layer (or multi-cluster) scattering Multiple-Input Multiple-Output (MIMO) channels are considered in the framework of the diversity-multiplexing tradeoff (DMT). This MIMO channel model finds application in indoor networks, typical of 5G architectures, in which the signal propagates from the transmitter to the receiver through the walls and floors of a building (represented by scattering layers). These results extend the seminal work by Zheng and Tse from the independent identically distributed (iid) Rayleigh fading MIMO channel to a channel matrix which is the product of iid Rayleigh fading matrix components. It is worth noting that the resulting product channel matrix elements are not independent. It is shown that the presence of multiple scattering layers eventually degrades the DMT performance of a MIMO channel by an amount depending only on the least three dimensions of the matrices characterizing the product channel matrix
Two-Stage Subspace Constrained Precoding in Massive MIMO Cellular Systems
We propose a subspace constrained precoding scheme that exploits the spatial
channel correlation structure in massive MIMO cellular systems to fully unleash
the tremendous gain provided by massive antenna array with reduced channel
state information (CSI) signaling overhead. The MIMO precoder at each base
station (BS) is partitioned into an inner precoder and a Transmit (Tx) subspace
control matrix. The inner precoder is adaptive to the local CSI at each BS for
spatial multiplexing gain. The Tx subspace control is adaptive to the channel
statistics for inter-cell interference mitigation and Quality of Service (QoS)
optimization. Specifically, the Tx subspace control is formulated as a QoS
optimization problem which involves an SINR chance constraint where the
probability of each user's SINR not satisfying a service requirement must not
exceed a given outage probability. Such chance constraint cannot be handled by
the existing methods due to the two stage precoding structure. To tackle this,
we propose a bi-convex approximation approach, which consists of three key
ingredients: random matrix theory, chance constrained optimization and
semidefinite relaxation. Then we propose an efficient algorithm to find the
optimal solution of the resulting bi-convex approximation problem. Simulations
show that the proposed design has significant gain over various baselines.Comment: 13 pages, accepted by IEEE Transactions on Wireless Communication
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